4 papers · 1 filter
Risk-Based Filtering of Valuable Driving Situations in the Waymo Open Motion Dataset
Tim Puphal, Vipul Ramtekkar, Kenji Nishimiya
Improving automated vehicle software requires driving data rich in valuable road user interactions. In this paper, we propose a risk-based filtering approach that helps identify su…
Finding the Easy Way Through -- the Probabilistic Gap Planner for Social Robot Navigation
Malte Probst, Raphael Wenzel, Tim Puphal +4
In Social Robot Navigation, autonomous agents need to resolve many sequential interactions with other agents. State-of-the art planners can efficiently resolve the next, imminent i…
Probabilistic Collision Risk Estimation for Pedestrian Navigation
Amine Tourki, Paul Prevel, Nils Einecke +2
Intelligent devices for supporting persons with vision impairment are becoming more widespread, but they are lacking behind the advancements in intelligent driver assistant system.…
Reducing Warning Errors in Driver Support with Personalized Risk Maps
Tim Puphal, Ryohei Hirano, Takayuki Kawabuchi +2
We consider the problem of human-focused driver support. State-of-the-art personalization concepts allow to estimate parameters for vehicle control systems or driver models. Howeve…